This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
co/core
An AI cooperative. Local models on spare macs.
co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.
The maximalist vision of this is a cooperative hyper-hyperscaler: a compute backbone assembled out of the idle machines already sitting in closets and on desks, owned by ordinary people, that no single institution can switch off and no single owner can capture once it's fully federated and represented in a structured graph.
If this sounds like the kind of thing you'd want to poke at, you're exactly who this is for. Run a node, dispatch a job, read the receipts. And please, help us build it. Come find us at https://bsky.app/profile/cocore.dev, or start a job at console.cocore.dev.
About co/core on Product Hunt
“An AI cooperative. Local models on spare macs.”
co/core was submitted on Product Hunt and earned 25 upvotes and 3 comments, placing #18 on the daily leaderboard. co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.
On the analytics side, co/core competes within Mac, Software Engineering, Artificial Intelligence and GitHub — topics that collectively have 660.7k followers on Product Hunt. The dashboard above tracks how co/core performed against the three products that launched closest to it on the same day.
Who hunted co/core?
co/core was hunted by Andrew Lisowski. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of co/core including community comment highlights and product details, visit the product overview.
Andrew Lisowski